Since our trainings are based on active pedagogy, we are always hunting for interesting hands-on student projects. This time Accenture offered our Brussels AI students the opportunity to put their knowledge into practice. Their task? Exploring, modeling en visualizing the reported case data. Are you eager to learn more about the project or are you curious about how our students have experienced this unique opportunity? Sara will tell you all about it in the interview below.

As part of the AI training, you’ve been working on a use case, provided by Accenture. Can you tell me a bit more about that use case?
“Accenture offered us the opportunity to analyze one of their datasets. The main goal was to learn how to use the tool PowerBI and to learn how to write a rapport containing the insights that the data analysis provided us with.”

What was the dataset about?
“There were two options, but everyone worked with the same dataset, the one about online food delivery. The dataset contained information about the menu, the location, the customers,…”

What were the different phases of this project?
“We were a group of 3, so we decided to divide the work. One of us explored the tool that we needed to use since it was new to us. The other two explored the dataset so that we got to know it’s structure and what it consisted of. After having done this, we organized a brainstorming session to come up with a research question. Once we had decided upon the research question, we split up the work. Two of our team members worked on the technical part. One was focussing more on the data analysis itself, while the other was focussing on the visualization of the results. I was concentrating more on interpreting the results. We also wrote a small report and had to give a presentation.”

What were the most interesting results of your analysis?
“Our question was centered on the punctuation of orders. We looked for a possible correlation with the customer profile, the region, the time of the day …. Our goal was to give a recommendation to restaurants when to be open or closed.”

You also had to present the results to Accenture. How did the presentation go?
“Quite good, but I was super nervous. We were able to present our results in the given time and from my point of view, it went well. We were proud to present this project since we were happy with the results and the reception of it.”

Have you gotten any interesting feedback from Accenture that will help you during the rest of the training?
“We had a feedback session last week, but they knew it was our first project of this kind, so there was no pressure and there were no other conditions than just using the dataset that they provided us with. We also got a lot of feedback from our coaches before and after the presentation which was super useful and helpful.”

What new skills have you acquired due to this project?
“It was our first project of this kind, so it was also the first time that we had to keep the needs of a specific client in mind. We learned how to gain insights from a dataset without having a specific request. We had to think about which findings could be interesting for the client.”

Are there also soft skills that you were able to sharpen due to this project?
“Teamwork was really important. We constantly had to collaborate and communicate with each other. We also had to keep in mind that the small tasks that you were working on, were part of a bigger project. My group was really easy to work with since we understood each other quite well. We also sharpened our presentational skills, even though we all had to rehearse more. Before the presentation, we practiced speaking in people terms, going straight to the goal and focussing on the needs of the client.”

How did you experience the project in general?
“We all enjoyed it very much. We only had three days to complete the assignment, so it was challenging, but it was exciting to work on a real-life project.”

What is the added value of such projects to the AI bootcamp?
“For me, it’s more than an added value. The hands-on experience is giving us an idea of what to expect outside of BeCode. Even though BeCode is a very practical course, what people could expect from you as a data scientist was shown even clearer to us via this project.”

Sidenote: This use case was an exercise as part of the BeCode curriculum to which Accenture contributes. 

Are you interested in following the AI Bootcamp?

Amazing! – We have a new class starting in Antwerp on the 5th of January.